AiBototicus/autotrain-colors-1-49130118878
Image Classification
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_data_files
list | _fingerprint
string | _format_columns
sequence | _format_kwargs
dict | _format_type
null | _output_all_columns
bool | _split
null |
|---|---|---|---|---|---|---|
[
{
"filename": "data-00000-of-00001.arrow"
}
] | b892085aa51ef438 | [
"image",
"target"
] | {} | null | false | null |
AutoTrain Dataset for project: colors-1
Dataset Description
This dataset has been automatically processed by AutoTrain for project colors-1.
Languages
The BCP-47 code for the dataset's language is unk.
Dataset Structure
Data Instances
A sample from this dataset looks as follows:
[
{
"image": "<1920x1080 P PIL image>",
"target": 1
},
{
"image": "<1000x563 RGB PIL image>",
"target": 1
}
]
Dataset Fields
The dataset has the following fields (also called "features"):
{
"image": "Image(decode=True, id=None)",
"target": "ClassLabel(names=['blue', 'green', 'red'], id=None)"
}
Dataset Splits
This dataset is split into a train and validation split. The split sizes are as follow:
| Split name | Num samples |
|---|---|
| train | 10 |
| valid | 3 |
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